Prevention Science最新文献

Violence in the home, including partner violence, child abuse, and elder abuse, is pervasive in the United States. An informatics approach allowing automated analysis of administrative data to identify domestic assaults and release timely and localized data would assist preventionists to identify geographic and demographic populations of need and design tailored interventions. This study examines the use of an established national dataset, the NEMSIS 2019, as a potential annual automated data source for domestic assault surveillance. An algorithm was used to identify individuals who utilized emergency medical services (EMS) for a physical assault in a private residence (N = 176,931). Descriptive analyses were conducted to define the identified population and disposition of patients. A logistic regression was performed to predict which characteristics were associated with consistent domestic assault identification by the on-scene EMS clinician and dispatcher. The sample was majority female (52.2%), White (44.7%), urban (85.5%), and 21-29 years old (24.4%). A disproportionate number of those found dead on scene were men (74.5%), and female patients more often refused treatment (57.8%) or were treated and then released against medical advice (58.4%). Domestic assaults against children and seniors had higher odds of being consistently identified by both the dispatcher and EMS clinician than those 21-49, and women had lower odds of consistent identification than men. While a more specific field to identify the type of domestic assault (e.g., intimate partner) would help inform specialized intervention planning, these data indicate an opportunity to systematically track domestic assaults in communities and describe population-specific needs.

Many conventional research methods employed in randomized controlled trials were not possible during the height of the COVID-19 pandemic. In particular, behavioral observations are nearly universally gathered in-person. Observational methods are valued for the rich, informative data they produce in comparison to non-observational methods and are a cornerstone of parenting and family research. COVID provided the opportunity to, and indeed necessitated, the transition to fully remote observation. However, little to no studies have investigated whether remotely collected observational data are methodologically sound. This paper assesses the feasibility of remote data collection by describing the transition between in-person and fully remote observational data collection during a Sequential, Multiple Assignment, Randomized Trial (SMART) of a parenting program that took place both before and during the pandemic. Using mixed-methods data from coders, the overall quality of video-recorded data collected both before and during COVID was examined. Coder reliability over time was assessed with intraclass correlation coefficients. Results suggest that the frequency of audio problems, the severity of visual problems, and the level of administration challenges decreased after transitioning to remote data collection. Additionally, coders showed good to excellent reliability coding remotely collected data, and reliability even improved on some measured tasks. Although challenges to remote data collection exist, this study demonstrated that observational data can be collected feasibly and reliably. As observational data collection is a key method to assess parenting practices, these findings should improve researcher confidence in utilizing remote observational methods in prevention science.

The quality of parenting program implementation significantly affects the extent to which a program is delivered effectively as well as the likelihood of it becoming embedded in everyday services. The group based Parenting for Lifelong Health for Young Children (PLH-YC) program for parents of children aged 2-9 years was developed specifically for implementation in low- and middle-income contexts, has been tested in five randomized trials, and incorporates a number of strategies to encourage fidelity of delivery. This paper reports on the introduction of PLH-YC to Montenegro, including initial work to engage government agencies and service providers, adapt the program and, following initial evidence of effectiveness, implement strategies to promote effective delivery and embed the program. Following program adaptation and initial facilitator training, eight groups were run, supported with resources and supervision and independently evaluated. The successful pilot led to program training accreditation by national professional agencies and a series of steps to successfully further embed it into routine settings in Montenegro, including by recognizing the program in national policy documents. This led to further facilitator trainings, now numbering 97 facilitators and the certification of ten coaches and two trainers. By the end of 2023, 1278 parents, across 13 municipalities (half of all municipalities in Montenegro) and a range of service providers, have received the program. The paper describes the project phases and key fidelity components that underpinned the successful introduction and embedding of the program in Montenegro. The plan has resulted in Montenegro having its own domestic resources to continue to implement the program effectively and further plan for widespread dissemination.